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- Creators: Department of Supply Chain Management
- Resource Type: Text
Description
This paper analyzes the development of the illicit drug supply chain in the United States. The analysis focuses on methamphetamine, heroin, and fentanyl. Through literature review, interviews with law enforcement narcotics specialists, and regression modeling, this paper maps the entire drug shipping process from manufacturing to distribution. The paper also analyzes the failures of United States policy to effectively counteract the crisis. Finally, this paper recommends supply-chain focused preventative measures intended to lower the accessibility of illegal drugs.
ContributorsYoung, Andrew (Author) / Wiedmer, Robert (Thesis director) / Huber, Frank (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor)
Created2024-05
Description
Fast fashion is one of the biggest players in the fashion industry today. It is characterized by volatile demand, fast lead times, short product lifecycles, and high consumption. To fit the demands of the industry, they have adapted agile and flexible supply chains to produce the latest styles as quickly as possible. This kind of supply chain has been enabled by technological advances over the past two decades. Artificial intelligence, cloud computing, RFID technology, and ERP systems have been the main technologies driving this industry and enabling its supply chain. The purpose of this paper is to address each of these technologies and their impacts on the fast fashion industry. It also addresses how these technologies can be integrated into the creation of the smart factory and how they can be applied to fast fashion supply chains as part of the fourth industrial revolution, known as I4.0.
ContributorsRasanayagam, Matthew (Author) / Printezis, Antonios (Thesis director) / Van Orden, Joseph (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor)
Created2024-05
Description
Historic mining of heavy metals (HMs) in Arizona has resulted in the creation of abandoned mine lands (AML), which can become sources of contamination and possible risks to human health. The goals of this work were to support the creation of databases useful for AML risk assessment, and to use Patagonia, Arizona as a case study to assess the relationship between water quality and proximity to AML sites. The of risk assessment database for AML contains risk calculation results from published national and international studies, with 4,667 data points from 75 unique papers. From the data visualization, 18 environmental contaminants, Cd, Co, Cr, Cu, F-, Fe, Hg, Mn, NH4+, Ni, Pb, Sb, Se, Tl, V, W, and Zn, had data points with non-carcinogenic health risks above commonly used health risk benchmarks. Comparatively, of the studies that computed a carcinogenic health risk, the seven contaminants evaluated (As, Cd, Cr, Cr(VI), Hg, Ni, Pb) all had data exceeding a 10-6 cancer risk (CR) reference value. In Patagonia, Pb, Cu, and Zn were measured at higher concentrations when closer to AML sites than at points downstream. These findings were corroborated by a comparison of contaminant concentrations across the watershed area, which additionally suggested a higher surface water solubility of HMs such as boron and barium.
ContributorsTerrones, Wesley (Author) / Hamilton, Kerry (Thesis director) / Halden, Rolf (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainable Engineering & Built Envirnmt (Contributor)
Created2024-05
Description
The local music scene has seen a decline in audience size and song streams ever since the pandemic. The goal of this report was to develop two proof of concept algorithms and leverage those algorithms to recommend an improved business model for large music streaming services, specifically Spotify, that is more evenly biased to recommending smaller artists. A k-nearest neighbors and k-means algorithm were both created, using generated features from Spotify data such as audio features and genres to generate both single and clusters of live event recommendations. Statistical and survey analysis was conducted on the results to determine if the proof of concept could be developed into a full-fledged algorithm.
ContributorsClarkin, Michael (Author) / Ellini, Andre (Co-author) / Bradley, Robert (Co-author) / Mancenido, Michelle (Thesis director) / Sirugudi, Kumar (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor)
Created2024-05
Description
The Women’s Power and Influence Index uses publicly available information to rank companies based on their gender policies, with the thought that public rankings trigger the behavioral and policy changes that move us in the direction of gender equity and pay parity. This project employs survey analysis to take a closer look at four of the criteria the WPI uses to score companies - maternity leave, childcare, harassment and discrimination training, and professional development. Our work evaluates survey responses to determine optimal policies for each of the four criteria with the hope that in future iterations of the Index, these policies can be incorporated into the scoring methods as a standard against which respective company policies can be compared.
ContributorsSaraswat, Tushar (Author) / Blessington, Katherine (Co-author) / Zaffar, Ehsan (Thesis director) / Gel, Esma (Committee member) / Barrett, The Honors College (Contributor) / School of Public Affairs (Contributor) / Department of Supply Chain Management (Contributor)
Created2024-05
Description
The wine industry is ever-changing across the globe with a variety of cultural and business approaches from different countries. Specifically, Italy and the United States have varying histories behind their wine production which have led to differences in their farming techniques, production methods, and governmental regulations. Preferences for the quality of wine or maximizing production output have separated the two countries' wine cultures; however, climate change with rising temperatures and increased natural disaster rates will affect both. Climate changes are forcing vineyards to adapt their grape varieties to be more suitable and driving some varieties to different regions. For Italy this will impact the influence that terroir has on wine production and for America this will influence their business decisions on what vines to plant to achieve maximum production. The agricultural sector and wine industry are also facing challenges with supply chain traceability and product safety as counterfeiting has become popular for the fine goods sector. Blockchain technology is a recent development that if implemented can increase product traceability and ensure quality to the final consumer. The research included in this paper was conducted through online, scholarly, and peer-reviewed journals as well as first-hand research performed with a California wine producer.
ContributorsAugustin, Jack (Author) / Printezis, Antonios (Thesis director) / Tabusso-Marcyan, Ilaria (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor)
Created2024-05